TCP-Drinc: Smart Congestion Control Based on Deep Reinforcement Learning

TCP-Drinc: Smart Congestion Control Based on Deep Reinforcement Learning

As wired/wireless networks become more and more complex, the fundamental assumptions made by many existing TCP variants may not hold true anymore. In this paper, we develop a model-free, smart congestion control algorithm based on deep reinforcement learning, which has a high potential in dealing wi...

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Bibliographic Details
Main Authors: Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Congestion control
deep convolutional neural network (DCNN)
deep reinforcement learning (DRL)
long short term memory (LSTM)
machine learning
Online Access:https://ieeexplore.ieee.org/document/8610116/

Internet

https://ieeexplore.ieee.org/document/8610116/

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